CN115218963A - Multivariable built-in panoramic-sensing transformer state comprehensive fuzzy evaluation method - Google Patents

Multivariable built-in panoramic-sensing transformer state comprehensive fuzzy evaluation method Download PDF

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CN115218963A
CN115218963A CN202210915554.9A CN202210915554A CN115218963A CN 115218963 A CN115218963 A CN 115218963A CN 202210915554 A CN202210915554 A CN 202210915554A CN 115218963 A CN115218963 A CN 115218963A
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transformer
phase winding
phase
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primary side
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曹辰
孙智慧
李晓龙
路敦林
王雪
左思鹏
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Shenyang University of Technology
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Abstract

The invention relates to a multivariable built-in panoramic sensing transformer state comprehensive fuzzy evaluation method, which comprises the following steps: measuring a voltage signal, a current signal, a power factor signal, a main magnetic flux signal in an iron core column, a winding leakage flux signal, a winding stress signal, a rotating moment signal during tap switch operation, a fluid pressure signal, an ultraviolet light signal and a wiring temperature signal of the transformer, and obtaining an electric parameter, a magnetic parameter, a stress parameter, a fluid parameter, an optical parameter and a thermal parameter of the transformer; establishing an electric-magnetic-force-flow-light-heat multivariable built-in panoramic perception parameter mapping model; and establishing a transformer state comprehensive fuzzy evaluation model based on multivariable built-in panoramic perception to realize comprehensive fuzzy evaluation of the transformer state. The invention solves the problems of incomplete transformer data monitoring, low transformer state detection accuracy and low reliability.

Description

Multivariable built-in panoramic-sensing transformer state comprehensive fuzzy evaluation method
Technical Field
The invention belongs to the technical field of measurement and evaluation of multiple variables of electricity, magnetism, force, flow, light and heat, and particularly relates to a multivariable built-in panoramic sensing transformer state comprehensive fuzzy evaluation method.
Background
With the continuous expansion of the scale of the power grid and the continuous improvement of the equipment capacity, the power grid power failure and the major economic loss are caused by the failure of the power equipment, and the development of the power system urgently needs to comprehensively sense the state of the major power equipment. The monitoring requirements of the power equipment are increasing due to the fact that the functions of the power equipment are gradually enriched due to the fact that materials, designs and processing technologies are continuously improved. The traditional sensing technology and the equipment state perception technology cannot meet the development requirement of the power grid.
With the construction and development of the energy Internet technology in China, higher requirements are put forward on the intelligent monitoring level of electric power equipment. Power transformers are one of the most important power devices in the overall power system. Once a power transformer fails, accidents such as transformer explosion and substation fire can be caused. Therefore, it is very important to develop a research on a power transformer panoramic perception and state evaluation method.
When the transformer normally operates and before and after a fault, multiple variable characteristic information such as 'electricity, magnetism, force, light, heat' and the like is usually accompanied, and through carrying out live detection or on-line monitoring on different characteristic signals of equipment, sensing and analyzing the state of the equipment, the defects and hidden dangers of various types of equipment can be found and avoided, so that the fault rate of the transformer is reduced, and the safety accidents of a power grid are reduced. Meanwhile, because the transformer substation is in strong electromagnetic interference for a long time and the environment is very complex in operation, the transformer state perception technology faces a serious challenge, the external detection device in the past can be strongly interfered, the reliability of the detection result is influenced, the built-in perception technology can reduce the influence of the operation environment and the system electromagnetic interference on the detection result to the maximum extent, and the transformer state perception technology is one of the development directions of transformer state perception.
Aiming at the condition that the power transformer in operation lacks an effective panoramic sensing and comprehensive evaluation method, an 'electro-magnetic-force-flow-light-heat' multivariable built-in panoramic sensing technology of the transformer is urgently needed, so that the multivariate of a transformer circuit, a magnetic field, stress, temperature, pressure, light, vibration and the like is monitored under the conditions that an electrical loop of the transformer is not changed and the working mode of the transformer is not influenced, the running state of the transformer is evaluated by adopting a multi-information comprehensive evaluation method, the monitoring accuracy and reliability of the transformer state are improved, and the safe running level of the transformer is effectively improved.
Disclosure of Invention
The invention aims to: the invention provides a multivariable built-in panoramic perception transformer state comprehensive fuzzy evaluation method, and aims to solve the problems of incomplete transformer data monitoring, low transformer state detection accuracy and low reliability.
The technical scheme is as follows:
a multivariable built-in panoramic sensing transformer state comprehensive fuzzy evaluation method comprises the following steps:
measuring a voltage signal, a current signal, a power factor signal, a main magnetic flux signal in an iron core column, a winding leakage flux signal, a winding stress signal, a rotating moment signal during tap switch operation, a fluid pressure signal, an ultraviolet light signal and a wiring temperature signal of the transformer, and obtaining an electric parameter, a magnetic parameter, a stress parameter, a fluid parameter, an optical parameter and a thermal parameter of the transformer;
establishing an electric-magnetic-force-flow-light-heat multivariable built-in panoramic perception parameter mapping model, wherein in the step one, an electric parameter mapping circuit overload condition index, a magnetic parameter mapping magnetic field saturation condition index, a stress parameter mapping winding deformation and tap switch operation condition index, a fluid parameter mapping insulation oil level condition index, an optical parameter mapping insulation condition index and a thermal parameter mapping overheating condition index are used;
establishing a multivariable built-in panoramic perception-based transformer state comprehensive fuzzy evaluation model, wherein a voltage signal, a current signal, a power factor signal, a main magnetic flux signal in an iron core column, a winding leakage flux signal, a winding stress signal, a rotation torque signal during tap switch operation, a fluid pressure signal, an ultraviolet light signal and a wiring temperature signal in the step one are used as signal layers of the transformer, and an electrical parameter, a magnetic parameter, a stress parameter, a fluid parameter, an optical parameter and a thermal parameter are used as parameter layers of the transformer; and performing comprehensive fuzzy evaluation on a primary signal layer and a secondary parameter layer of the transformer by applying a transformer state comprehensive fuzzy evaluation method to obtain a comprehensive result evaluation set of the overload condition, the magnetic field saturation condition, the winding deformation and tap switch operation condition, the insulation oil level condition, the insulation condition and the overheating condition of the transformer circuit, thereby realizing the comprehensive fuzzy evaluation on the state of the transformer.
Further, the voltage signal includes a primary side voltage signal [ 2 ]U A ，U B ，U C ]And secondary side voltage signal [ alpha ]u a 、u b 、u c ](ii) a In the matrix, the number of the channels is,U A 、U B 、U C is the primary side voltage vector of the winding outlet terminal,u a 、u b 、u c a secondary side voltage vector of a winding outlet terminal is obtained;
the current signal includes a primary side current signalI A 、I B 、I C ]And secondary side current signal [ alpha ]i a 、i b 、i c ](ii) a In the matrix, the matrix is composed of a plurality of matrixes,I A 、I B 、I C is the current vector of the primary side of the winding outlet terminal,i a 、i b 、i c is a secondary side current vector of a winding outlet terminal;
the power factor signal comprises a primary side phase A power factor signal
Figure 858086DEST_PATH_IMAGE001
Primary side B-phase power factor signal
Figure 100002_DEST_PATH_IMAGE002
Primary side of the C-phase power factor signal
Figure 346836DEST_PATH_IMAGE003
Secondary side a phase power factor signal
Figure 100002_DEST_PATH_IMAGE004
Secondary side b phase power factor signal
Figure 677323DEST_PATH_IMAGE005
And secondary side c-phase power factor signal
Figure 100002_DEST_PATH_IMAGE006
(ii) a The main magnetic flux signal in the iron core column is the iron core main magnetic flux magnetic field matrix [ B ] 1 ，B 2 ，B 3 ，B 4 ，B 5 ，B 6 ，B 7 ](ii) a In matrix, B 1 A Hall sensor is arranged in one half of the inner position of a phase iron core column of the transformer A, and the magnetic induction intensity of main magnetic flux of the phase iron core column of the transformer A is tested; b is 2 A Hall sensor is arranged in one half of the inner position of a phase-B iron core column of the transformer to test the magnetic induction intensity of main magnetic flux of the phase-B iron core column of the transformer; b is 3 A Hall sensor is arranged in one half of the inner position of a C-phase iron core column of the transformer to test the magnetic induction intensity of main magnetic flux of the C-phase iron core column of the transformer; b 4 A Hall sensor is arranged in one half of the inner part of an upper iron yoke of an iron core window formed by the phase A and phase B iron core columns of the transformer, and the magnetic induction intensity of the upper iron yoke of the iron core window formed by the phase A and phase B iron core columns of the transformer is tested; b is 5 A Hall sensor is arranged in one half of the inner part of a lower iron yoke of an iron core window consisting of the phase A iron core column and the phase B iron core column of the transformer, and the magnetic induction intensity of the lower iron yoke of the iron core window consisting of the phase A iron core column and the phase B iron core column of the transformer is tested; b is 6 In the B phase and C phase of the transformerA Hall sensor is arranged in one half of the inner part of an upper iron yoke of the iron core window formed by the iron core columns, and the magnetic induction intensity of the upper iron yoke of the iron core window formed by the B-phase and C-phase iron core columns of the transformer is tested; b 7 A Hall sensor is arranged in one half of the inner part of a lower iron yoke of an iron core window formed by a phase B iron core column and a phase C iron core column of a transformer, and the magnetic induction intensity of the lower iron yoke of the iron core window formed by the phase B iron core column and the phase C iron core column of the transformer is tested;
the winding leakage flux signal is a winding leakage flux magnetic field matrix [ B ] δ1 ，B δ2 ，B δ3 ，B δ4 ，B δ5 ，B δ6 ，B δ7 ，B δ8 ，B δ9 ，B δ10 ，B δ11 ，B δ12 ](ii) a In matrix, B δ1 A Hall sensor is arranged in the upper end part of a primary side A phase winding of the transformer, and the magnetic induction intensity of the leakage flux of the winding at the upper end part of the primary side A phase winding of the transformer is tested; b δ2 A Hall sensor is arranged in the lower end part position of the primary side A phase winding of the transformer, and the magnetic induction intensity of the leakage flux of the winding at the lower end part position of the primary side A phase winding of the transformer is tested; b is δ3 A Hall sensor is arranged in the upper end part position of a primary side B phase winding of the transformer, and the magnetic induction intensity of the leakage flux of the winding at the upper end part position of the primary side B phase winding of the transformer is tested; b is δ4 A Hall sensor is arranged in the lower end part position of a primary side B phase winding of the transformer, and the magnetic induction intensity of the leakage flux of the winding at the lower end part position of the primary side B phase winding of the transformer is tested; b is δ5 A Hall sensor is arranged in the upper end position of a primary side C-phase winding of the transformer, and the magnetic induction intensity of the leakage flux of the winding at the upper end position of the primary side C-phase winding of the transformer is tested; b δ6 A Hall sensor is arranged in the lower end part position of a primary side C-phase winding of the transformer, and the magnetic induction intensity of the leakage flux of the winding at the lower end part position of the primary side C-phase winding of the transformer is tested; b is δ7 A Hall sensor is arranged in the upper end position of the a-phase winding of the secondary side of the transformer, and the magnetic induction intensity of the leakage flux of the winding at the upper end position of the a-phase winding of the secondary side of the transformer is tested; b is δ8 In order to arrange a Hall sensor in the lower end part position of the secondary side a-phase winding of the transformer and test the winding leakage flux in the lower end part position of the secondary side a-phase winding of the transformerMagnetic induction intensity of flux; b δ9 A Hall sensor is arranged in the upper end position of the secondary side b-phase winding of the transformer, and the magnetic induction intensity of the leakage flux of the winding at the upper end position of the secondary side b-phase winding of the transformer is tested; b is δ10 A Hall sensor is arranged in the lower end part of the secondary side b-phase winding of the transformer, and the magnetic induction intensity of the leakage flux of the winding at the lower end part of the secondary side b-phase winding of the transformer is tested; b is δ11 A Hall sensor is arranged in the upper end position of the secondary side c-phase winding of the transformer, and the magnetic induction intensity of the leakage flux of the winding at the upper end position of the secondary side c-phase winding of the transformer is tested; b is δ12 A Hall sensor is arranged in the lower end part of a secondary side c-phase winding of the transformer, and the magnetic induction intensity of the leakage flux of the winding at the lower end part of the secondary side c-phase winding of the transformer is tested.
The winding stress signal is a winding stress matrix F M1 ，F M2 ，F M3 ，F M4 ，F M5 ，F M6 ，F M7 ，F M8 ，F M9 ，F M10 ，F M11 ，F M12 ](ii) a In matrix, F M1 In order to embed an optical fiber at the upper end position of a primary side A phase winding of a transformer, testing the position stress of the upper end position of the primary side A phase winding of the transformer; f M2 In order to embed an optical fiber at the lower end part position of a primary side A phase winding of a transformer, testing the position stress of the lower end part position of the primary side A phase winding of the transformer; f M3 The method comprises the steps that optical fibers are arranged in the upper end part of a primary side B-phase winding of a transformer, and the position stress of the upper end part of the primary side B-phase winding of the transformer is tested; f M4 The method comprises the steps that optical fibers are arranged in the lower end part position of a primary side B phase winding of a transformer, and the stress of the lower end part position of the primary side B phase winding of the transformer is tested; f M5 The method comprises the steps that optical fibers are arranged in the upper end position of a primary side C-phase winding of a transformer, and the position stress of the upper end position of the primary side C-phase winding of the transformer is tested; f M6 In order to embed an optical fiber in the lower end part position of a primary side C-phase winding of a transformer, testing the position stress of the lower end part position of the primary side C-phase winding of the transformer; f M7 In order to embed an optical fiber at the upper end position of a phase winding on the secondary side of a transformer, testing the position stress of the upper end position of the phase winding on the secondary side of the transformer; f M8 For embedding optical fiber at the lower end position of a phase winding on the secondary side of the transformerTesting the position stress of the lower end part of a phase winding on the secondary side of the transformer; f M9 In order to embed an optical fiber at the upper end position of a b-phase winding of a secondary side of a transformer, testing the position stress of the upper end position of the b-phase winding of the secondary side of the transformer; f M10 In order to embed an optical fiber at the lower end part position of a secondary side b-phase winding of a transformer, testing the position stress of the lower end part of the secondary side b-phase winding of the transformer; f M11 In order to embed an optical fiber at the upper end position of a secondary side c-phase winding of a transformer, testing the position stress of the upper end position of the secondary side c-phase winding of the transformer; f M12 In order to embed an optical fiber at the lower end part position of a secondary side c-phase winding of a transformer, testing the stress at the lower end part position of the secondary side c-phase winding of the transformer;
the rotating torque signal when the tap changer is operated is torque M 1 (ii) a Wherein, M 1 An optical fiber sensor is arranged in the position of a rotating shaft of a tap switch operating mechanism, and the rotating moment of the tap switch during action is tested;
the fluid pressure signal being the difference between the fluid pressures
Figure 748178DEST_PATH_IMAGE007
，
Figure 100002_DEST_PATH_IMAGE008
In the formula, F N1 Testing the fluid pressure for a pressure sensor built in the top of the oil tank; f N2 The fluid pressure is tested for a pressure sensor built into the bottom of the tank.
The ultraviolet light signal is an ultraviolet light matrix G 1 ，G 2 ，G 3 ，G 4 ，G 5 ，G 6 ](ii) a In matrix, G 1 An optical fiber is arranged in a turn-to-turn insulation position in the middle of a primary side A phase winding of a transformer, and ultraviolet light of the primary side A phase winding of the transformer is tested; g 2 Arranging an optical fiber in the middle turn-to-turn insulation position of the primary side B-phase winding of the transformer, and testing ultraviolet light of the primary side B-phase winding of the transformer; g 3 Arranging an optical fiber in the middle turn-to-turn insulation position of the primary side C-phase winding of the transformer, and testing ultraviolet light of the primary side C-phase winding of the transformer; g 4 An optical fiber is arranged in the inter-turn insulation position in the middle of the a-phase winding of the secondary side of the transformer, and ultraviolet light of the a-phase winding of the secondary side of the transformer is tested; g 5 An optical fiber is arranged in a turn-to-turn insulation position in the middle of a phase b winding of the secondary side of the transformer, and ultraviolet light of the phase b winding of the secondary side of the transformer is tested; g 6 An optical fiber is arranged in a turn-to-turn insulation position in the middle of a c-phase winding of the secondary side of the transformer, and ultraviolet light of the c-phase winding of the secondary side of the transformer is tested;
the wiring temperature signal is a temperature matrix T 1 ，T 2 ，T 3 ，T 4 ，T 5 ，T 6 ](ii) a In matrix, T 1 The method comprises the steps that optical fibers are arranged in the connecting line of a primary side A phase winding of a transformer and an outlet sleeve, and the connecting temperature of the primary side A phase winding of the transformer is tested; t is 2 Testing the wiring temperature of the primary side B-phase winding of the transformer by arranging an optical fiber in the position of a connecting wire of the primary side B-phase winding of the transformer and an outlet sleeve; t is 3 Testing the wiring temperature of the primary side C-phase winding of the transformer by arranging an optical fiber in the position of a connecting wire of the primary side C-phase winding of the transformer and an outlet sleeve; t is 4 The method comprises the steps that optical fibers are arranged in the connecting line of a phase winding on the secondary side of the transformer and an outlet sleeve, and the connecting line temperature of the phase winding on the secondary side of the transformer is tested; t is 5 The method comprises the steps that optical fibers are arranged in the connecting line of a secondary side b-phase winding of the transformer and an outlet sleeve, and the connecting line temperature of the secondary side b-phase winding of the transformer is tested; t is a unit of 6 An optical fiber is arranged in a connecting position of a secondary side c-phase winding of the transformer and an outlet bushing, and the connecting temperature of the secondary side c-phase winding of the transformer is tested.
Further, the electrical parameters include an electrical parameter of the primary voltage, an electrical parameter of the primary current, an electrical parameter of the secondary voltage, an electrical parameter of the secondary current, an electrical parameter of the primary power factor, and an electrical parameter of the secondary power factor,
the electrical parameter of the primary side voltage is
Figure 646864DEST_PATH_IMAGE009
，
Figure 100002_DEST_PATH_IMAGE010
，
The electrical parameter of the primary side current is
Figure 747544DEST_PATH_IMAGE011
，
Figure 100002_DEST_PATH_IMAGE012
，
The electrical parameter of the secondary side voltage is
Figure 491509DEST_PATH_IMAGE013
，
Figure 100002_DEST_PATH_IMAGE014
，
The electrical parameter of the secondary side current is
Figure 682450DEST_PATH_IMAGE015
，
Figure 100002_DEST_PATH_IMAGE016
，
The electrical parameter of the primary side power factor is
Figure 611092DEST_PATH_IMAGE017
，
Figure 100002_DEST_PATH_IMAGE018
In the formula (I), the reaction is carried out,
Figure 74435DEST_PATH_IMAGE001
is a primary side phase a power factor signal,
Figure 231878DEST_PATH_IMAGE002
is a primary side B-phase power factor signal,
Figure 995434DEST_PATH_IMAGE003
is a primary side C-phase power factor signal;
the electrical parameter of the secondary side power factor is
Figure 970343DEST_PATH_IMAGE019
，
Figure 100002_DEST_PATH_IMAGE020
In the formula (I), wherein,
Figure 780037DEST_PATH_IMAGE021
is a secondary side a-phase power factor signal,
Figure 865804DEST_PATH_IMAGE005
is a secondary side b-phase power factor signal,
Figure 483867DEST_PATH_IMAGE006
is a secondary side c-phase power factor signal.
Furthermore, the magnetic parameters comprise the magnetic parameters of the main magnetic flux of the iron core column and the magnetic parameters of the leakage magnetic flux of the winding,
the magnetic parameter of the main flux of the core column is
Figure 100002_DEST_PATH_IMAGE022
，
Figure 770623DEST_PATH_IMAGE023
，
The magnetic parameter of the leakage flux of the winding is
Figure 100002_DEST_PATH_IMAGE024
，
Figure 677399DEST_PATH_IMAGE025
。
Further, the stress parameters include stress parameters of the winding and stress parameters of the tap changer,
the stress parameter of the winding is
Figure 100002_DEST_PATH_IMAGE026
，
Figure 894754DEST_PATH_IMAGE027
；
The stress parameters of the tap changer are as follows: the position of the rotating shaft of the operating mechanism of the tap switch is internally provided withOptical fiber sensor for testing rotating moment M during action of tap switch 1 。
Further, the fluid parameter is
Figure 632903DEST_PATH_IMAGE007
，
Figure 824981DEST_PATH_IMAGE008
。
Further, the optical parameter is
Figure 100002_DEST_PATH_IMAGE028
，
Figure 219053DEST_PATH_IMAGE029
。
Further, the thermal parameter is
Figure 100002_DEST_PATH_IMAGE030
，
Figure 36837DEST_PATH_IMAGE031
。
Further, the process of the comprehensive fuzzy evaluation method is as follows:
(1) Establishing a set of evaluation indexes, and selecting an evaluation object;
(2) Carrying out standardization processing on data of an evaluation object through a standardized data model;
(3) Calculating the weight of the evaluation object to form a signal layer weight vector
Figure 100002_DEST_PATH_IMAGE032
And a parametric layer weight vector
Figure 832754DEST_PATH_IMAGE033
；
(4) Calculating evaluation value of the evaluation object through an evaluation value model, and establishing the evaluation value as an evaluation matrix
Figure 100002_DEST_PATH_IMAGE034
；
(5) According to the evaluation matrix
Figure 461313DEST_PATH_IMAGE034
And signal layer weight vectors
Figure 77102DEST_PATH_IMAGE032
Carrying out comprehensive fuzzy evaluation of a first-level signal layer;
(6) Obtaining a result and a parameter layer weight vector according to the first-level signal layer comprehensive fuzzy evaluation
Figure 370680DEST_PATH_IMAGE033
Calculating the comprehensive evaluation value of the evaluation indexes of the parameter layer and obtaining the optimal membership degree
Figure 880159DEST_PATH_IMAGE035
Performing comprehensive fuzzy evaluation of a secondary parameter layer;
(7) According to the result of comprehensive fuzzy evaluation of the secondary parameter layer and the optimal membership degree
Figure 335411DEST_PATH_IMAGE035
(ii) a Constructing a comprehensive evaluation index system of the transformer;
(8) Comprehensive evaluation index system and optimal membership degree formed by aiming at each evaluation index
Figure 704075DEST_PATH_IMAGE035
And (4) forming a comprehensive result evaluation set by the calculation results to realize comprehensive evaluation of the state of the transformer.
Has the advantages that:
the existing transformer monitoring technology is mainly an external monitoring technology, the measurement result of the external monitoring method is generally influenced by factors such as strong electromagnetic interference, and the like, and the monitoring signal is single. Based on the method, the multivariable built-in panoramic perception technology and the comprehensive fuzzy evaluation method of the transformer are provided, the multivariable such as a transformer circuit, a magnetic field, stress, temperature, pressure, light, vibration and the like are monitored under the condition that the working mode of the transformer is not influenced, the running state of the transformer is evaluated by adopting a multi-information comprehensive evaluation method, the built-in perception technology can reduce the influence of the running environment and the electromagnetic interference of a system on a detection result to the maximum extent, the multivariable panoramic perception technology can improve the monitoring accuracy and reliability of the transformer state, and therefore the comprehensive evaluation of multiple information parameters is fused to improve the safe running level of the transformer.
Drawings
FIG. 1 is an overall flow chart of a multivariate built-in panoramic sensing transformer state comprehensive fuzzy evaluation method;
FIG. 2 is an electric-magnetic-force-flow-light-heat multivariable built-in panoramic perception parameter mapping model;
FIG. 3 is a transformer state comprehensive fuzzy evaluation model based on multivariable built-in panoramic perception;
FIG. 4 is a schematic diagram of a Hall sensor testing position of a magnetic flux magnetic induction testing method of an iron core;
FIG. 5 is a schematic diagram of a testing position of a Hall sensor according to a primary side winding leakage flux magnetic induction strength testing method;
fig. 6 is a schematic diagram of a hall sensor testing position by a secondary side winding leakage flux magnetic induction strength testing method.
Detailed Description
The invention is described in more detail below with reference to the accompanying drawings.
The invention measures the parameter signals of the transformer by using different measuring devices, establishes a multivariable built-in panoramic perception parameter mapping model and obtains the condition indexes of the working state of the transformer. And establishing the working state of the transformer according to the parameter mapping model of the transformer by the established transformer state comprehensive fuzzy evaluation model. The method specifically comprises the following steps:
as shown in FIG. 1, the invention provides a multivariable built-in panoramic sensing transformer state comprehensive fuzzy evaluation method, which comprises the following steps:
measuring a voltage signal, a current signal, a power factor signal, a main magnetic flux signal in an iron core column, a winding leakage flux signal, a winding stress signal, a rotating moment signal during tap switch operation, a fluid pressure signal, an ultraviolet light signal and a wiring temperature signal of the transformer, and obtaining an electrical parameter, a magnetic parameter, a stress parameter, a fluid parameter, an optical parameter and a thermal parameter of the transformer;
(1) A voltage current transformer is arranged in a winding wire outlet end, a voltage signal, a current signal and a power factor signal of a primary side and a secondary side of a transformer are tested, and an electric parameter is obtained, wherein the specific method comprises the following steps:
a voltage transformer is arranged in a winding outlet end, and a primary side voltage vector is tested to beU A ，U B ，U C (ii) a A current transformer is arranged in a winding outlet end, and a primary side current vector is tested to beI A 、I B 、I C (ii) a A voltage transformer is arranged in a winding outlet terminal, and the secondary side voltage vector is tested to beu a 、u b 、u c (ii) a A current transformer is arranged in a winding outlet terminal, and a secondary side current vector is tested to bei a 、i b 、i c 。
Because the tested primary and secondary side voltages and currents are vectors, in order to comprehensively obtain numerical parameters of all phase voltage and currents, a norm mean solving method of a voltage and current vector composition matrix is provided, and the norm mean is calculated to serve as the electrical parameters. First, the primary side voltage vector to be tested is formed into a primary side voltage vector matrixU A ，U B ，U C ]As a primary side voltage signal; composing the tested primary side current vector into a primary side current vector matrix [ 2 ]I A 、I B 、I C ]As a primary side current signal; forming secondary side voltage vector matrix by using tested secondary side voltage vectoru a 、u b 、u c ]As a secondary side voltage signal; forming a secondary side current vector matrix by using the tested secondary side current vectorsi a 、i b 、i c ]As a secondary side current signal. Primary side voltage signal [ alpha ]U A ，U B ，U C ]And secondary side voltage signal [ alpha ]u a 、u b 、u c ]Composition voltage signal, primary side current signalI A 、I B 、I C ]And secondary side current signal [ alpha ]i a 、i b 、i c ]Constituting a current signal.
Then calculating the norm mean value of the matrix formed by the primary side three-phase voltage vectors
Figure 100002_DEST_PATH_IMAGE036
As an electrical parameter of the primary side voltage; calculating the norm mean value of the matrix formed by the primary side three-phase current vectors
Figure 614394DEST_PATH_IMAGE037
As an electrical parameter of the primary current; calculating norm mean value of matrix formed by secondary side three-phase voltage vectors
Figure 119324DEST_PATH_IMAGE014
As an electrical parameter of the secondary side voltage; calculating norm mean value of matrix formed by secondary side three-phase current vectors
Figure 745478DEST_PATH_IMAGE016
As an electrical parameter of the secondary side current.
Because the tested primary side voltage and secondary side current are vectors, in order to comprehensively obtain phase angle parameters of all voltage and current, a voltage and current vector power factor mean value solving method is provided, and the power factor mean value is calculated to serve as an electrical parameter. Firstly, calculating the difference value between the primary side A phase voltage vector phase angle and the current vector phase angle
Figure 100002_DEST_PATH_IMAGE038
(ii) a Calculating the primary sideDifference between phase angle of phase vector of B phase and phase angle of phase vector of current
Figure 929334DEST_PATH_IMAGE039
(ii) a Calculating the difference value between the phase angle of the primary side C-phase voltage vector and the phase angle of the current vector
Figure DEST_PATH_IMAGE040
(ii) a Calculating the difference value of the phase angle of the a-phase voltage vector and the phase angle of the current vector of the secondary side
Figure DEST_PATH_IMAGE041
(ii) a Calculating the difference value between the phase angle of the secondary side b-phase voltage vector and the phase angle of the current vector
Figure 908923DEST_PATH_IMAGE042
(ii) a Calculating the difference value between the phase angle of the c-phase voltage vector and the phase angle of the current vector of the secondary side
Figure DEST_PATH_IMAGE043
。
Then calculating the power factor of the A phase at the primary side
Figure 268360DEST_PATH_IMAGE044
Calculating the primary side B-phase power factor as the primary side A-phase power factor signal
Figure 658890DEST_PATH_IMAGE002
Calculating the primary side C-phase power factor as the primary side B-phase power factor signal
Figure 470988DEST_PATH_IMAGE003
Calculating the average value of the primary side three-phase power factor as the primary side C-phase power factor signal
Figure DEST_PATH_IMAGE045
As an electrical parameter of the primary side power factor; calculating secondary side a-phase power factor
Figure 988688DEST_PATH_IMAGE021
As a secondary sideCalculating the secondary side b-phase power factor from the a-phase power factor signal
Figure 264949DEST_PATH_IMAGE046
Calculating the secondary side c-phase power factor as the secondary side b-phase power factor signal
Figure DEST_PATH_IMAGE047
Calculating the average value of the secondary side three-phase power factors as the secondary side c-phase power factor signal
Figure 701747DEST_PATH_IMAGE048
As an electrical parameter of the secondary side power factor. Primary side phase A power factor signal
Figure 391354DEST_PATH_IMAGE001
Primary side B phase power factor signal
Figure 306220DEST_PATH_IMAGE002
Primary side of the C-phase power factor signal
Figure 436987DEST_PATH_IMAGE003
Secondary side a phase power factor signal
Figure 931771DEST_PATH_IMAGE021
Secondary side b phase power factor signal
Figure 718462DEST_PATH_IMAGE005
And secondary side c-phase power factor signal
Figure 233757DEST_PATH_IMAGE006
Constituting a power factor signal.
(2) The method comprises the following steps of arranging Hall magnetic field sensors in an iron core column and the end part of a winding, testing a main magnetic flux signal and a winding leakage magnetic flux signal in the iron core column, and obtaining magnetic parameters, wherein the specific method comprises the following steps:
because the distribution of the main magnetic flux of the transformer has the characteristic of changing along with different positions, in order to comprehensively obtain the effective value of the main magnetic flux of the transformer,a Hall sensor is arranged in one half of the inner position of the phase iron core column of the transformer A to test the magnetic induction intensity B of main magnetic flux of the phase iron core column of the transformer A 1 (ii) a A Hall sensor is arranged in one half of the inner position of the phase-B iron core column of the transformer to test the magnetic induction intensity B of main magnetic flux of the phase-B iron core column of the transformer 2 (ii) a A Hall sensor is arranged in one half of the inner position of the C-phase core limb of the transformer to test the magnetic induction intensity B of main magnetic flux of the C-phase core limb of the transformer 3 (ii) a A Hall sensor is arranged in one half of the inner part of an upper yoke of an iron core window consisting of the phase A and phase B iron core columns of the transformer, and the magnetic induction intensity B of the upper yoke of the iron core window consisting of the phase A and phase B iron core columns of the transformer is tested 4 (ii) a A Hall sensor is arranged in one half of the inner part of a lower iron yoke of an iron core window consisting of the A-phase iron core columns and the B-phase iron core columns of the transformer, and the magnetic induction intensity B of the lower iron yoke of the iron core window consisting of the A-phase iron core columns and the B-phase iron core columns of the transformer is tested 5 (ii) a A Hall sensor is arranged in one half of the inner part of an upper iron yoke of the iron core window consisting of the B-phase iron core column and the C-phase iron core column of the transformer, and the magnetic induction intensity B of the upper iron yoke of the iron core window consisting of the B-phase iron core column and the C-phase iron core column of the transformer is tested 6 (ii) a A Hall sensor is arranged in one half of the inner part of a lower iron yoke of an iron core window consisting of the iron core columns of the B phase and the C phase of the transformer, and the magnetic induction intensity B of the lower iron yoke of the iron core window consisting of the iron core columns of the B phase and the C phase of the transformer is tested 7 . The magnetic induction intensity of the main magnetic flux of the iron core is measured by the position shown as a circled part in figure 4.
Because the magnetic induction intensity of the main magnetic flux of the tested transformer core is a variable containing the position parameters of the iron core, in order to comprehensively obtain the numerical parameters of the main magnetic flux of the iron core at all testing positions, a norm mean value solving method of a matrix formed by the magnetic induction intensity of the main magnetic flux of the iron core is provided, and the norm mean value is calculated to serve as the magnetic parameters. The magnetic induction intensity obtained by testing 7 positions of one half position inside an ABC three-phase iron core of a transformer, one half position inside an upper iron yoke and a lower iron yoke of an iron core window consisting of core columns of the A phase and the B phase, and one half position inside an upper iron yoke and a lower iron yoke of an iron core window consisting of core columns of the B phase and the C phase forms an iron core main magnetic flux magnetic field matrix [ B 1 ，B 2 ，B 3 ，B 4 ，B 5 ，B 6 ，B 7 ]As a core mainA magnetic flux signal. Calculating norm mean value of magnetic field matrix of main magnetic flux of iron core composed of magnetic induction intensities obtained by 7 position tests
Figure DEST_PATH_IMAGE049
As the magnetic parameters of the main magnetic flux of the core limb;
because the distribution of the magnetic field of the leakage flux of the transformer has the characteristic of changing along with different positions, in order to comprehensively obtain the effective value of the leakage flux of the transformer, a Hall sensor is arranged in the upper end part of the primary side A phase winding of the transformer, and the magnetic induction intensity B of the leakage flux of the winding at the upper end part of the primary side A phase winding of the transformer is tested δ1 (ii) a A Hall sensor is arranged in the lower end part position of the primary side A phase winding of the transformer, and the magnetic induction intensity B of the leakage flux of the winding at the lower end part position of the primary side A phase winding of the transformer is tested δ2 (ii) a A Hall sensor is arranged in the upper end part position of the primary side B-phase winding of the transformer, and the magnetic induction intensity B of the leakage flux of the winding in the upper end part position of the primary side B-phase winding of the transformer is tested δ3 (ii) a A Hall sensor is arranged in the lower end part position of the primary side B phase winding of the transformer to test the magnetic induction intensity B of the leakage flux of the winding at the lower end part position of the primary side B phase winding of the transformer δ4 (ii) a A Hall sensor is arranged in the upper end part of the primary side C-phase winding of the transformer, and the magnetic induction intensity B of the leakage flux of the winding at the upper end part of the primary side C-phase winding of the transformer is tested δ5 (ii) a A Hall sensor is arranged in the lower end part position of the primary side C-phase winding of the transformer to test the magnetic induction intensity B of the leakage flux of the winding at the lower end part position of the primary side C-phase winding of the transformer δ6 (ii) a A Hall sensor is arranged in the upper end position of the a-phase winding of the secondary side of the transformer, and the magnetic induction intensity B of the leakage flux of the winding at the upper end position of the a-phase winding of the secondary side of the transformer is tested δ7 (ii) a A Hall sensor is arranged in the lower end part position of the a-phase winding of the secondary side of the transformer, and the magnetic induction intensity B of the leakage flux of the winding at the lower end part position of the a-phase winding of the secondary side of the transformer is tested δ8 (ii) a A Hall sensor is arranged in the upper end position of the B-phase winding of the secondary side of the transformer, and the magnetic induction intensity B of the leakage flux of the winding at the upper end position of the B-phase winding of the secondary side of the transformer is tested δ9 (ii) a A Hall sensor is arranged in the lower end part of the secondary side b-phase winding of the transformer for measuringMagnetic induction intensity B of leakage flux of windings at lower end positions of secondary side B-phase windings of test transformer δ10 (ii) a A Hall sensor is arranged in the upper end position of the c-phase winding on the secondary side of the transformer, and the magnetic induction intensity B of the leakage flux of the winding at the upper end position of the c-phase winding on the secondary side of the transformer is tested δ11 (ii) a A Hall sensor is arranged in the lower end part position of the c-phase winding of the secondary side of the transformer, and the magnetic induction intensity B of the leakage flux of the winding at the lower end part position of the c-phase winding of the secondary side of the transformer is tested δ12 . The positions of the primary side winding leakage magnetic flux magnetic induction intensity testing method are shown as circled parts in figure 5, and the positions of the secondary side winding leakage magnetic flux magnetic induction intensity testing method are shown as circled parts in figure 6.
Because the magnetic induction intensity of the leakage flux of the tested transformer winding is a variable containing the position parameters of the winding, in order to comprehensively obtain the numerical parameters of the leakage flux of the winding at all testing positions, a norm mean value solving method of a matrix formed by the magnetic induction intensity of the leakage flux of the winding is provided, and the norm mean value is calculated to serve as the magnetic parameters. Magnetic induction intensities obtained by testing 12 positions of the upper and lower end parts of a primary side phase A winding, the upper and lower end parts of a secondary side phase a winding, the upper and lower end parts of a primary side phase B winding, the upper and lower end parts of a secondary side phase B winding, the upper and lower end parts of a primary side phase C winding and the upper and lower end parts of a secondary side phase C winding of a transformer form a winding leakage magnetic flux magnetic field matrix [ B δ1 ，B δ2 ，B δ3 ，B δ4 ，B δ5 ，B δ6 ，B δ7 ，B δ8 ，B δ9 ，B δ10 ，B δ11 ，B δ12 ]And is used as a winding leakage flux signal. Calculating the norm mean value of the magnetic flux leakage magnetic field matrix of the winding composed of 12 magnetic induction intensities obtained by position test
Figure 812505DEST_PATH_IMAGE025
As the magnetic parameter of the winding leakage flux;
(3) Optical fibers are arranged in the positions of a transformer winding and a tap switch, a winding stress signal and a rotation torque signal during operation of the tap switch are tested, and a stress parameter is obtained. The specific method comprises the following steps:
because the stress distribution of the transformer winding has the characteristic of changing along with different positions, in order to comprehensively obtain the effective value of the stress of the transformer winding, an optical fiber is arranged in the upper end part of the primary side A phase winding of the transformer, and the stress F of the upper end part of the primary side A phase winding of the transformer is tested M1 (ii) a An optical fiber is arranged in the lower end part position of the primary side A phase winding of the transformer, and the stress F of the lower end part position of the primary side A phase winding of the transformer is tested M2 (ii) a An optical fiber is arranged in the upper end part position of the primary side B-phase winding of the transformer, and the stress F of the upper end part position of the primary side B-phase winding of the transformer is tested M3 (ii) a An optical fiber is arranged in the lower end part position of the primary side B-phase winding of the transformer, and the stress F of the lower end part position of the primary side B-phase winding of the transformer is tested M4 (ii) a An optical fiber is arranged in the upper end position of the primary side C-phase winding of the transformer, and the stress F of the upper end position of the primary side C-phase winding of the transformer is tested M5 (ii) a An optical fiber is arranged in the lower end part position of the primary side C-phase winding of the transformer, and the stress F of the lower end part position of the primary side C-phase winding of the transformer is tested M6 (ii) a An optical fiber is arranged in the upper end position of the a-phase winding of the secondary side of the transformer, and the stress F of the upper end position of the a-phase winding of the secondary side of the transformer is tested M7 (ii) a An optical fiber is arranged in the lower end part position of the secondary side a-phase winding of the transformer, and the stress F of the lower end part position of the secondary side a-phase winding of the transformer is tested M8 (ii) a An optical fiber is arranged in the upper end position of the secondary side b-phase winding of the transformer, and the stress F of the upper end position of the secondary side b-phase winding of the transformer is tested M9 (ii) a An optical fiber is arranged in the lower end part position of the secondary side b-phase winding of the transformer, and the stress F of the lower end part position of the secondary side b-phase winding of the transformer is tested M10 (ii) a An optical fiber is arranged in the upper end position of the secondary side c-phase winding of the transformer, and the stress F of the upper end position of the secondary side c-phase winding of the transformer is tested M11 (ii) a An optical fiber is arranged in the lower end part position of the secondary side c-phase winding of the transformer, and the stress F of the lower end part position of the secondary side c-phase winding of the transformer is tested M12 。
Because the tested transformer winding stress distribution is a variable containing winding position parameters, in order to comprehensively obtain the numerical parameters of the winding stress at all the testing positions, a norm mean solving method of a winding stress composition matrix is provided, and the norm mean is calculated to serve as the stress parameters. Winding the primary side A phase of the transformerThe winding stress obtained by testing 12 positions of the lower end part position, the upper and lower end part positions of the secondary side a-phase winding, the upper and lower end part positions of the primary side B-phase winding, the upper and lower end part positions of the secondary side B-phase winding, the upper and lower end part positions of the primary side C-phase winding and the upper and lower end part positions of the secondary side C-phase winding forms a winding stress matrix [ F ] according to the winding stress M1 ，F M2 ，F M3 ，F M4 ，F M5 ，F M6 ，F M7 ，F M8 ，F M9 ，F M10 ，F M11 ，F M12 ]As a winding stress signal. Calculating the norm mean value of the winding stress matrix formed by the winding stress obtained by 12 position tests
Figure 325526DEST_PATH_IMAGE027
As stress parameters of the transformer winding; an optical fiber sensor is arranged in the position of a rotating shaft of a tap switch operating mechanism to test the rotating moment M when the tap switch acts 1 As a rotation torque signal and a stress parameter of the rotation torque.
(4) A pressure sensor is arranged in the oil tank to test a fluid pressure signal and obtain a fluid parameter. The specific process is as follows:
built-in pressure sensor at top of oil tank for testing fluid pressure F N1 (ii) a Built-in pressure sensor at bottom of oil tank for testing fluid pressure F N2 (ii) a Calculating the difference between the fluid pressures measured at the bottom and top of the tank
Figure 661830DEST_PATH_IMAGE008
As a fluid pressure signal of the transformer and a fluid parameter of the transformer.
(5) And (3) arranging optical fibers in turn-to-turn insulation positions of the windings to measure ultraviolet light signals and obtain optical parameters. The specific process is as follows:
an optical fiber is arranged in the middle turn-to-turn insulation position of the primary side A phase winding of the transformer to test ultraviolet light G of the primary side A phase winding of the transformer 1 (ii) a An optical fiber is arranged in the middle turn-to-turn insulation position of the primary side B phase winding of the transformer to test ultraviolet light G of the primary side B phase winding of the transformer 2 (ii) a In the middle turn of the primary side C-phase winding of the transformerOptical fiber is arranged in an insulating position to test ultraviolet light G of primary side C-phase winding of transformer 3 (ii) a An optical fiber is arranged in the inter-turn insulation position in the middle of the a-phase winding of the secondary side of the transformer, and ultraviolet light G of the a-phase winding of the secondary side of the transformer is tested 4 (ii) a An optical fiber is arranged in the inter-turn insulation position in the middle of the secondary side b-phase winding of the transformer, and ultraviolet light G of the secondary side b-phase winding of the transformer is tested 5 (ii) a An optical fiber is arranged in the inter-turn insulation position in the middle of the c-phase winding of the secondary side of the transformer, and ultraviolet light G of the c-phase winding of the secondary side of the transformer is tested 6 。
As the distribution of the ultraviolet light of the tested transformer is a variable containing position parameters, in order to comprehensively obtain numerical parameters of the ultraviolet light at all testing positions, a method for solving the norm mean value of the ultraviolet light composition matrix is provided, and the norm mean value is calculated to serve as the optical parameters. Testing 6 positions of a primary side phase A winding middle turn-to-turn insulation position, a primary side phase B winding middle turn-to-turn insulation position, a primary side phase C winding middle turn-to-turn insulation position, a secondary side phase a winding middle turn-to-turn insulation position, a secondary side phase B winding middle turn-to-turn insulation position and a secondary side phase C winding middle turn-to-turn insulation position to form an ultraviolet light matrix G 1 ，G 2 ，G 3 ，G 4 ，G 5 ，G 6 ]As an ultraviolet light signal. Calculating the norm mean value of the ultraviolet light matrix consisting of the ultraviolet light obtained by 6 position tests
Figure 793865DEST_PATH_IMAGE050
As an optical parameter of the transformer.
(6) And (3) internally arranging optical fibers at the connecting line of the winding and the outgoing bushing to measure a connecting line temperature signal and obtain a thermal parameter. The specific process is as follows:
an optical fiber is arranged in a connecting line position of a primary side A-phase winding and an outlet sleeve of the transformer, and the connecting temperature T of the primary side A-phase winding of the transformer is tested 1 (ii) a An optical fiber is arranged in a connecting line position of a primary side B-phase winding and an outlet sleeve of the transformer, and the connecting temperature T of the primary side B-phase winding of the transformer is tested 2 (ii) a An optical fiber is arranged in a connecting line position of a primary side C-phase winding and an outlet sleeve of the transformer, and the connecting temperature T of the primary side C-phase winding of the transformer is tested 3 (ii) a An optical fiber is arranged in the position of a connecting wire of the secondary side a-phase winding of the transformer and the outgoing line sleeve, and the connecting wire temperature T of the secondary side a-phase winding of the transformer is tested 4 (ii) a An optical fiber is arranged in the position of a connecting wire of the secondary side b-phase winding of the transformer and an outlet sleeve, and the connecting wire temperature T of the secondary side b-phase winding of the transformer is tested 5 (ii) a An optical fiber is arranged in a connecting line of a secondary side c-phase winding of the transformer and an outlet sleeve, and the connecting temperature T of the secondary side c-phase winding of the transformer is tested 6 。
Because the temperature distribution of the tested transformer is a variable containing position parameters, in order to comprehensively obtain the numerical parameters of the temperature of all tested positions, a method for solving the norm mean value of the temperature composition matrix is provided, and the norm mean value is calculated to be used as a thermal parameter. Connecting a primary side phase A winding with a wire outlet sleeve at a connecting position, a primary side phase B winding with the wire outlet sleeve at a connecting position, a primary side phase C winding with the wire outlet sleeve at a connecting position, a secondary side phase a winding with the wire outlet sleeve at a connecting position, a secondary side phase B winding with the wire outlet sleeve at a connecting position, and a secondary side phase C winding with the wire outlet sleeve at a connecting position, wherein the connecting temperatures obtained by testing 6 positions form a connecting temperature matrix [ T ] in total 1 ，T 2 ，T 3 ，T 4 ，T 5 ，T 6 ]As a wiring temperature signal for the transformer. Calculating the norm mean value of a wiring temperature matrix consisting of the wiring temperatures obtained by 6 position tests
Figure DEST_PATH_IMAGE051
As a thermal parameter of the transformer.
Step two, as shown in fig. 2, establishing an 'electric-magnetic-force-flow-light-heat' multivariable built-in panoramic perception parameter mapping model, wherein an electric parameter mapping circuit overload condition index, a magnetic parameter mapping magnetic field saturation condition index, a stress parameter mapping winding deformation and tap switch operation condition index, a fluid parameter mapping insulation oil level condition index, an optical parameter mapping insulation condition index and a thermal parameter mapping overheating condition index are mapped in the step one;
step three, as shown in fig. 3, establishing a transformer state comprehensive fuzzy evaluation model based on multivariable built-in panoramic perception, wherein a voltage signal, a current signal, a power factor signal, a main magnetic flux signal in an iron core column, a winding leakage flux signal, a winding stress signal, a rotation torque signal, a fluid pressure signal, an ultraviolet light signal and a wiring temperature signal during tap switch operation in the step one are used as signal layers of the transformer, and an electric parameter, a magnetic parameter, a stress parameter, a fluid parameter, an optical parameter and a thermal parameter are used as parameter layers of the transformer; and performing primary signal layer comprehensive fuzzy evaluation and secondary parameter layer comprehensive fuzzy evaluation on the transformer by applying a transformer state comprehensive fuzzy evaluation method to obtain a comprehensive result evaluation set of transformer circuit overload condition, magnetic field saturation condition, winding deformation and tap switch operation condition, insulation oil level condition, insulation condition and overheating condition, thereby realizing comprehensive fuzzy evaluation of the transformer state.
The process of the comprehensive fuzzy evaluation method comprises the following steps:
(1) Establishing a signal layer evaluation index set and a parameter layer evaluation index set, and selecting an evaluation object;
1) Establishing a signal layer evaluation index set, wherein the evaluation indexes comprise: voltage signal, current signal, power factor signal, main magnetic flux signal in the core limb, winding leakage flux signal, winding stress signal, rotation torque signal during tap switch operation, fluid pressure signal, ultraviolet light signal, and wiring temperature signal. Let F i Is a non-empty set, represents the set of the evaluation indexes of the transformer signal layer, and is called
F i ＝{x 1 ，x 2 ，x 3 ，，，x a }#(1)
Wherein x is a And the evaluation index data of the signal layer represents the signal layer data measured by the transformer.
2) Establishing a parameter layer evaluation index set, wherein the evaluation indexes comprise: electrical, magnetic, stress, fluid, optical, thermal parameters.
Order to
Figure 911043DEST_PATH_IMAGE055
Is a non-empty set, represents the set of the evaluation indexes of the transformer parameter layer, and is called
Figure DEST_PATH_IMAGE056
（2）
Wherein the content of the first and second substances,
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and the data is parameter layer evaluation index data and represents parameter layer data obtained by calculating the transformer.
Selecting one or more evaluation indexes in the transformer parameter layer as evaluation objects
Figure DEST_PATH_IMAGE058
；
(2) Carrying out standardization processing on data of a signal layer evaluation index and a parameter layer evaluation index in a transformer evaluation object through a standardized data model;
collecting signal layer evaluation indexes in an evaluation object
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And parameter layer evaluation index set
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Requires evaluation of a set of indicators for the signal layer
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And parameter layer evaluation index set
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The data is preprocessed, and each evaluation index data is equivalently converted into standardized data for convenient calculation.
Is provided with
Figure DEST_PATH_IMAGE060
As an object of evaluation of a transformer
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The larger the normalized data of the signal layer evaluation index and the parameter layer evaluation index is, the larger the normalized data isThe standardized data models for the goodness index and the smaller the goodness index are:
Figure DEST_PATH_IMAGE062
（3）
wherein, the first and the second end of the pipe are connected with each other,
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the calculated data representing the more optimal type of indicator the larger the transformer,
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the calculated data representing the more optimal index the smaller the transformer,
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in order to count up the initial data obtained,
Figure DEST_PATH_IMAGE066
is the minimum value of the index,
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is the maximum value of the index.
(3) Calculating the weights of the signal layer evaluation indexes and the parameter layer evaluation indexes in the transformer evaluation object to form a signal layer weight vector
Figure 44663DEST_PATH_IMAGE032
And a parametric layer weight vector
Figure 651225DEST_PATH_IMAGE033
；
1) Calculating a weight vector of the signal layer evaluation index:
calculating evaluation indexes of signal layers (voltage signal, current signal, power factor signal, main magnetic flux signal in iron core column, winding leakage magnetic flux signal, winding stress signal, rotation torque signal during tap switch operation, fluid pressure signal, ultraviolet light signal, and wiring temperature signal) and mapping the evaluation indexes to parameter layers (electrical parameter, magnetic parameter, stress parameter, fluid parameter, optical parameter, and thermal parameter)The weight vector of the price index is
Figure DEST_PATH_IMAGE068
(ii) a And adopting an average value method for the calculation of the signal layer evaluation index weight.
2) Calculating a weight vector of the parameter layer evaluation index:
calculating the weight vector of the evaluation index of the parameter layer (electrical parameter, magnetic parameter, stress parameter, fluid parameter, optical parameter, thermal parameter) mapped on the total target
Figure 503643DEST_PATH_IMAGE069
. The formula method of formula (4) is adopted for the weight calculation of the parameter layer evaluation index.
Evaluating the object according to the selected transformer
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Calculating the weight:
Figure DEST_PATH_IMAGE071
（4）
wherein the content of the first and second substances,
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and the quantity of the parameter layer evaluation index data representing the transformer evaluation object.
(4) Calculating the evaluation value of the signal layer evaluation index of the transformer evaluation object through an evaluation value model, and establishing the evaluation value as an evaluation matrix
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；
And calculating a comprehensive evaluation value for the signal layer evaluation index of any transformer evaluation object by using a formula, and establishing an evaluation matrix of the signal layer evaluation index of the evaluation object. Is provided with
Figure DEST_PATH_IMAGE074
Is a set of evaluation index states in which
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Then, the evaluation value model for the signal layer evaluation index of the evaluation target is:
Figure DEST_PATH_IMAGE076
（5）
wherein the content of the first and second substances,
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an evaluation value corresponding to the evaluation index of the signal layer to be evaluated,
Figure DEST_PATH_IMAGE078
。
Figure 636629DEST_PATH_IMAGE079
maximum constraint data of the evaluation index state as an evaluation object,
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minimum constraint data of the evaluation index state of the evaluation object.
An evaluation matrix for establishing an evaluation index of a signal layer of an evaluation object is
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（6）
(5) According to the evaluation matrix
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Sum signal layer weight vector
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Constructing a comprehensive evaluation value model of the signal layer, calculating a comprehensive evaluation value of the evaluation index of the signal layer, and performing comprehensive fuzzy evaluation of the primary signal layer;
evaluation matrix based on signal layer evaluation index of evaluation object
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And signal layer weight vectors
Figure 657675DEST_PATH_IMAGE032
Constructing a comprehensive evaluation value model of the signal layer as
Figure DEST_PATH_IMAGE082
（7）
Wherein the content of the first and second substances,
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the number of signal layer evaluation index data to be evaluated by the transformer is represented.
The comprehensive evaluation value of the signal layer evaluation index of the evaluation object is obtained according to the formula (7)
Figure DEST_PATH_IMAGE084
Carrying out comprehensive fuzzy evaluation of a first-level signal layer;
(6) Obtaining a comprehensive evaluation value and a parameter layer weight vector according to the comprehensive fuzzy evaluation of the first-level signal layer
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Constructing a comprehensive evaluation value model of the parameter layer, calculating the comprehensive evaluation value of the evaluation indexes of the parameter layer, and obtaining the optimal membership degree
Figure DEST_PATH_IMAGE086
Performing comprehensive fuzzy evaluation of a secondary parameter layer;
performing comprehensive fuzzy evaluation of the secondary parameter layer, and performing comprehensive fuzzy evaluation of the primary signal layer to obtain a comprehensive evaluation value
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Treated as a relationship matrix
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The relationship matrix about the comprehensive evaluation value is
Figure DEST_PATH_IMAGE089
Wherein each small matrix
Figure DEST_PATH_IMAGE090
Is that
Figure 428950DEST_PATH_IMAGE088
The characteristics of A in a certain aspect are obtained.
According to the obtained relation matrix
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And a parametric layer weight vector
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A comprehensive evaluation value model of the parameter layer is constructed as
Figure DEST_PATH_IMAGE091
（8）
Wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE092
and the number of the parameter layer evaluation index data representing the transformer evaluation object.
According to a formula (8), calculating the comprehensive evaluation value of the evaluation indexes of each parameter layer, and selecting the maximum value of the comprehensive evaluation values of the parameter layers as the optimal membership degree
Figure DEST_PATH_IMAGE093
。
(7) According to the comprehensive fuzzy evaluation result of the second-level parameter layer and the optimal membership degree
Figure 286682DEST_PATH_IMAGE093
(ii) a Constructing a comprehensive evaluation index system of the transformer;
the transformer comprehensive evaluation index system is expressed as follows:
Figure 432492DEST_PATH_IMAGE094
（9）
wherein, the first and the second end of the pipe are connected with each other,
Figure DEST_PATH_IMAGE095
the maximum value represents the optimal membership
Figure 729482DEST_PATH_IMAGE093
，
Figure 353361DEST_PATH_IMAGE096
The comprehensive evaluation index system of the transformer is represented,
Figure DEST_PATH_IMAGE097
the evaluation indexes of the signal layers (voltage signal, current signal, power factor signal, main magnetic flux signal in the iron core column, winding leakage flux signal, winding stress signal, rotation torque signal during tap switch operation, fluid pressure signal, ultraviolet light signal, and wiring temperature signal) are represented and integrated
Figure 170138DEST_PATH_IMAGE098
Is shown, i.e.
Figure DEST_PATH_IMAGE099
；
Figure 486850DEST_PATH_IMAGE100
Representing evaluation indexes of parameter layers (electrical parameter, magnetic parameter, stress parameter, fluid parameter, optical parameter, and thermal parameter), and collecting
Figure DEST_PATH_IMAGE101
Is shown by
Figure 271135DEST_PATH_IMAGE102
。
(8) Multivariable built-in panoramic perception parameter mapping model and comprehensive evaluation index system formed by aiming at evaluation indexes of transformers and optimal membership degree
Figure DEST_PATH_IMAGE103
The calculated result of (1), the overload condition and the magnetic field of the circuit composing the transformerAnd the comprehensive evaluation set of the comprehensive results of the saturation condition, the winding deformation and the operation condition of the tap switch, the condition of the insulation oil level, the insulation condition and the overheating condition realizes the comprehensive evaluation of the state of the transformer.
Examples
Taking a test experiment of magnetic parameter signals when a 180MVA and 220kV transformer runs as an example, the implementation process of establishing the transformer state comprehensive fuzzy evaluation model based on multivariable built-in panoramic perception is explained as follows: testing a main flux signal and a winding leakage flux signal of the transformer core, obtaining magnetic parameters of the transformer, and defining a state set of each evaluation index as V = { normal, attention and abnormity }, wherein evaluation intervals of the main flux evaluation state of the transformer core are [ normal (0.8T-1.7T), attention (1.7T-2.0T) and abnormity (2.0T-2.2T)]The evaluation interval of the transformer winding leakage flux evaluation state was [ normal (0.06T-0.13T), (0.13T-0.16T) and abnormal (0.16T-0.2T) ]]. Performing comprehensive fuzzy evaluation of a primary signal layer and comprehensive fuzzy evaluation of a secondary parameter layer through a transformer state comprehensive fuzzy evaluation model to form a transformer comprehensive evaluation index system, and obtaining the optimal membership degree according to calculation
Figure 964285DEST_PATH_IMAGE104
And constructing a comprehensive result evaluation set of the transformer, realizing comprehensive fuzzy evaluation of the transformer, and judging whether the transformer works normally or in an abnormal state. In the calculation process of the embodiment of the invention, magnetic parameters are selected as evaluation objects, and a corresponding magnetic parameter comprehensive evaluation index system is established for description.
And carrying out a test experiment on magnetic parameter signals when the 180MVA and 220kV transformers run.
Firstly, hall magnetic field sensors are arranged in an iron core column and the end part of a winding of a transformer, main magnetic flux signal data and winding leakage magnetic flux signal data in the iron core column are tested, and the tested data are shown in tables 1 and 2.
Table 1: main flux data on core limb
B 1 B 2 B 3 B 4 B 5 B 6 B 7
1.3 1.4 1.35 1.5 0.9 1.1 1.2
Table 2: winding leakage flux data
B δ1 B δ2 B δ3 B δ4 B δ5 B δ6 B δ7 B δ8 B δ9 B δ10 B δ11 B δ12
0.11 0.12 0.1 0.12 0.11 0.09 0.11 0.12 0.09 0.12 0.12 0.11
And (3) establishing a set of signal layer evaluation indexes and parameter layer comprehensive evaluation indexes related to the magnetic parameters of the transformer through formulas (1) to (3), and carrying out standardization processing on evaluation index data. In this embodiment, the more the normalized use of the signal layer evaluation index data is, the more the optimal index is calculated, and the less the normalized use of the parameter layer evaluation index data is, the more optimal index is calculated, where the maximum value and the minimum value of the index are respectively selected as: for the main magnetic flux of the transformer, selecting the minimum value of an evaluation interval to be 0.8T and the maximum value to be 2.2T; and selecting the minimum value of the evaluation interval as 0.06T and the maximum value as 0.2T for the leakage flux of the transformer winding. And calculating to obtain:
the normalized data of the signal layer evaluation index are:
the standardized data of the main magnetic flux signals of the iron core are as follows:
Figure DEST_PATH_IMAGE105
the standardized data of the winding leakage flux signal are as follows:
Figure 635569DEST_PATH_IMAGE106
standardized data of parameter layer evaluation indexes:
the main magnetic flux parameter standardization data of the iron core are as follows:
Figure DEST_PATH_IMAGE107
standardized data of magnetic parameters of the leakage flux of the winding:
Figure 388761DEST_PATH_IMAGE108
when the weight of the selected magnetic parameter of the transformer evaluation object is calculated, the weight of the evaluation index of the signal layer is calculated by adopting an average value method, the weight of the evaluation index of the parameter layer is calculated by adopting a formula (4), and the weight is calculated by obtaining:
the weight of the signal layer evaluation index is as follows:
weight vector of the iron core main flux signal:
Figure DEST_PATH_IMAGE109
weight vector of winding leakage flux signal:
Figure 394763DEST_PATH_IMAGE110
the weight of the parameter layer evaluation index is as follows:
the weight vector of the main flux magnetic parameters of the iron core is as follows:
Figure DEST_PATH_IMAGE111
；
the weight vector of the magnetic parameters of the leakage flux of the winding is as follows:
Figure 704653DEST_PATH_IMAGE112
；
establishing an evaluation matrix of the signal layer evaluation index of the selected magnetic parameter of the transformer evaluation object through formulas (5) to (6), wherein the minimum constraint data and the maximum constraint data of the evaluation index state are selected as follows: the evaluation interval of the evaluation state of the main magnetic flux of the transformer core [ normal (0.8T-1.7T), attention (1.7T-2.0T) and abnormality (2.0T-2.2T) ], the evaluation interval of the evaluation state of the leakage magnetic flux of the transformer winding [ normal (0.06T-0.13T), attention (0.13T-0.16T) and abnormality (0.16T-0.2T) ]. And calculating to obtain:
evaluation matrix of the main magnetic flux signals of the iron core:
Figure DEST_PATH_IMAGE113
evaluation matrix of winding leakage flux signals:
Figure 355077DEST_PATH_IMAGE114
and performing primary signal layer comprehensive fuzzy evaluation and secondary parameter layer comprehensive fuzzy evaluation according to the evaluation matrix of the signal layer evaluation index of the magnetic parameter of the evaluation object of the transformer and the formulas (7) to (8), and constructing a transformer comprehensive evaluation index system through a formula (9). In this embodiment, the obtained comprehensive evaluation index system of the transformer is:
Figure DEST_PATH_IMAGE115
wherein the optimal membership degree is 0.406744.
Finally, in the embodiment, because the selected evaluation object is the magnetic parameter of the transformer, the multivariate built-in panoramic perception parameter mapping model, the comprehensive evaluation index system and the optimal membership eta formed by aiming at each evaluation index i The calculation results of (2) constitute a comprehensive result evaluation set of the transformer magnetic field saturation, and since V = { normal, note, abnormal } is set according to the state set defining each evaluation index, it can be determined that the transformer magnetic field saturation state is an abnormal state in this state, and finally the comprehensive evaluation of the transformer state is realized.
The technical characteristics form an embodiment of the invention, which has strong adaptability and implementation effect, and unnecessary technical characteristics can be increased or decreased according to actual needs to meet the requirements of different situations.

Claims (9)

1. A multivariable built-in panoramic perception transformer state comprehensive fuzzy evaluation method is characterized by comprising the following steps: the method comprises the following steps:
measuring a voltage signal, a current signal, a power factor signal, a main magnetic flux signal in an iron core column, a winding leakage flux signal, a winding stress signal, a rotating moment signal during tap switch operation, a fluid pressure signal, an ultraviolet light signal and a wiring temperature signal of the transformer, and obtaining an electrical parameter, a magnetic parameter, a stress parameter, a fluid parameter, an optical parameter and a thermal parameter of the transformer;
establishing an electric-magnetic-force-flow-light-heat multivariable built-in panoramic perception parameter mapping model, wherein in the step one, an electric parameter mapping circuit overload condition index, a magnetic parameter mapping magnetic field saturation condition index, a stress parameter mapping winding deformation and tap switch operation condition index, a fluid parameter mapping insulation oil level condition index, an optical parameter mapping insulation condition index and a thermal parameter mapping overheating condition index are used;
establishing a multivariable built-in panoramic perception-based transformer state comprehensive fuzzy evaluation model, wherein a voltage signal, a current signal, a power factor signal, a main magnetic flux signal in an iron core column, a winding leakage flux signal, a winding stress signal, a rotation torque signal during tap switch operation, a fluid pressure signal, an ultraviolet light signal and a wiring temperature signal in the step one are used as signal layers of the transformer, and an electrical parameter, a magnetic parameter, a stress parameter, a fluid parameter, an optical parameter and a thermal parameter are used as parameter layers of the transformer; and performing primary signal layer comprehensive fuzzy evaluation and secondary parameter layer comprehensive fuzzy evaluation on the transformer by applying a transformer state comprehensive fuzzy evaluation method to obtain a comprehensive result evaluation set of transformer circuit overload condition, magnetic field saturation condition, winding deformation and tap switch operation condition, insulation oil level condition, insulation condition and overheating condition, thereby realizing comprehensive fuzzy evaluation of the transformer state.
2. The multivariate built-in panoramic perception transformer state comprehensive fuzzy evaluation method according to claim 1, characterized in that:
the voltage signal includes a primary side voltage signalU A ，U B ，U C ]And secondary side voltage signal [ alpha ]u a 、u b 、u c ](ii) a In the matrix, the matrix is composed of a plurality of matrixes,U A 、U B 、U C is the primary side voltage vector of the winding outlet terminal,u a 、u b 、u c a secondary side voltage vector of a winding outlet terminal is obtained;
the current signal includes a primary side current signalI A 、I B 、I C ]And secondary side current signal [ alpha ]i a 、i b 、i c ](ii) a In the matrix, the number of the channels is,I A 、I B 、I C is the primary side current vector of the winding outlet terminal,i a 、i b 、i c a secondary side current vector of a winding outlet terminal;
the power factor signal comprises a primary side A-phase power factor signal
Figure DEST_PATH_IMAGE001
Primary side B-phase power factor signal
Figure DEST_PATH_IMAGE002
Primary side of the C-phase power factor signal
Figure DEST_PATH_IMAGE003
Secondary side a phase power factor signal
Figure DEST_PATH_IMAGE004
Secondary side b phase power factor signal
Figure DEST_PATH_IMAGE005
And secondary side c-phase power factor signal
Figure DEST_PATH_IMAGE006
；
The main magnetic flux signal in the iron core column is an iron core main magnetic flux magnetic field matrix [ B ] 1 ，B 2 ，B 3 ，B 4 ，B 5 ，B 6 ，B 7 ](ii) a In the matrix, B 1 A Hall sensor is arranged in one half of the inner part of the phase A iron core column of the transformer to test the magnetic induction intensity of main magnetic flux of the phase A iron core column of the transformer; b is 2 A Hall sensor is arranged in one half of the inner position of a phase-B iron core column of the transformer to test the magnetic induction intensity of main magnetic flux of the phase-B iron core column of the transformer; b is 3 A Hall sensor is arranged in one half of the inner position of a C-phase iron core column of the transformer to test the magnetic induction intensity of main magnetic flux of the C-phase iron core column of the transformer; b is 4 A Hall sensor is arranged in one half of the inner part of an upper iron yoke of an iron core window formed by the phase A and phase B iron core columns of the transformer, and the magnetic induction intensity of the upper iron yoke of the iron core window formed by the phase A and phase B iron core columns of the transformer is tested; b 5 A Hall sensor is arranged in one half of the inner part of a lower iron yoke of an iron core window formed by the phase A and phase B iron core columns of the transformer, and the magnetic induction intensity of the lower iron yoke of the iron core window formed by the phase A and phase B iron core columns of the transformer is tested; b is 6 A Hall sensor is arranged in one half of the inner part of an upper iron yoke of an iron core window formed by a phase B iron core column and a phase C iron core column of a transformer, and the magnetic induction intensity of the upper iron yoke of the iron core window formed by the phase B iron core column and the phase C iron core column of the transformer is tested; b 7 A Hall sensor is arranged in one half of the inner part of a lower iron yoke of an iron core window consisting of a phase B iron core column and a phase C iron core column of the transformer, and the magnetic induction intensity of the lower iron yoke of the iron core window consisting of the phase B iron core column and the phase C iron core column of the transformer is tested;
the winding leakage flux signal is a winding leakage flux magnetic field matrix [ B ] δ1 ，B δ2 ，B δ3 ，B δ4 ，B δ5 ，B δ6 ，B δ7 ，B δ8 ，B δ9 ，B δ10 ，B δ11 ，B δ12 ](ii) a In the matrix, B δ1 A Hall sensor is arranged in the upper end part of a primary side A phase winding of the transformer, and the magnetic induction intensity of the leakage flux of the winding at the upper end part of the primary side A phase winding of the transformer is tested; b δ2 A Hall sensor is arranged in the lower end part position of the primary side A phase winding of the transformer, and the magnetic induction intensity of the leakage flux of the winding at the lower end part position of the primary side A phase winding of the transformer is tested; b δ3 In order to embed a Hall sensor in the upper end position of a primary side B-phase winding of a transformer,testing the magnetic induction intensity of the leakage flux of the winding at the upper end part position of the primary side B-phase winding of the transformer; b is δ4 A Hall sensor is arranged in the lower end part position of a primary side B phase winding of the transformer, and the magnetic induction intensity of the leakage flux of the winding at the lower end part position of the primary side B phase winding of the transformer is tested; b is δ5 A Hall sensor is arranged in the upper end part of a primary side C-phase winding of the transformer, and the magnetic induction intensity of the leakage flux of the winding at the upper end part of the primary side C-phase winding of the transformer is tested; b is δ6 A Hall sensor is arranged in the lower end part position of a primary side C-phase winding of the transformer, and the magnetic induction intensity of the leakage flux of the winding in the lower end part position of the primary side C-phase winding of the transformer is tested; b δ7 A Hall sensor is arranged in the upper end position of the a-phase winding of the secondary side of the transformer, and the magnetic induction intensity of the leakage flux of the winding at the upper end position of the a-phase winding of the secondary side of the transformer is tested; b is δ8 A Hall sensor is arranged in the lower end part of the a-phase winding of the secondary side of the transformer, and the magnetic induction intensity of the leakage flux of the winding at the lower end part of the a-phase winding of the secondary side of the transformer is tested; b δ9 A Hall sensor is arranged in the upper end position of the secondary side b-phase winding of the transformer, and the magnetic induction intensity of the leakage flux of the winding at the upper end position of the secondary side b-phase winding of the transformer is tested; b δ10 A Hall sensor is arranged in the lower end part of the secondary side b-phase winding of the transformer, and the magnetic induction intensity of the leakage flux of the winding at the lower end part of the secondary side b-phase winding of the transformer is tested; b is δ11 A Hall sensor is arranged in the upper end position of a c-phase winding on the secondary side of the transformer, and the magnetic induction intensity of the leakage flux of the winding at the upper end position of the c-phase winding on the secondary side of the transformer is tested; b is δ12 A Hall sensor is arranged in the lower end part position of the secondary side c-phase winding of the transformer, and the magnetic induction intensity of the leakage flux of the winding in the lower end part position of the secondary side c-phase winding of the transformer is tested;
the winding stress signal is a winding stress matrix F M1 ，F M2 ，F M3 ，F M4 ，F M5 ，F M6 ，F M7 ，F M8 ，F M9 ，F M10 ，F M11 ，F M12 ](ii) a In matrix, F M1 Testing the primary side A phase winding of a transformer by placing an optical fiber in the upper end of the primary side A phase windingThe position stress of the upper end of the group; f M2 In order to embed an optical fiber in the lower end part position of a primary side A phase winding of a transformer, testing the position stress of the lower end part position of the primary side A phase winding of the transformer; f M3 The method comprises the steps that optical fibers are arranged in the upper end part of a primary side B-phase winding of a transformer, and the position stress of the upper end part of the primary side B-phase winding of the transformer is tested; f M4 The method comprises the steps that optical fibers are arranged in the lower end part position of a primary side B phase winding of a transformer, and the stress of the lower end part position of the primary side B phase winding of the transformer is tested; f M5 The method comprises the steps that optical fibers are arranged in the upper end position of a primary side C-phase winding of a transformer, and the position stress of the upper end position of the primary side C-phase winding of the transformer is tested; f M6 In order to embed an optical fiber in the lower end part position of a primary side C-phase winding of a transformer, testing the position stress of the lower end part position of the primary side C-phase winding of the transformer; f M7 In order to embed an optical fiber at the upper end position of a phase winding on the secondary side of a transformer, testing the position stress of the upper end position of the phase winding on the secondary side of the transformer; f M8 In order to embed an optical fiber at the lower end part position of a phase winding on the secondary side of a transformer, testing the position stress of the lower end part of the phase winding on the secondary side of the transformer; f M9 In order to embed an optical fiber at the upper end position of a b-phase winding of a secondary side of a transformer, testing the position stress of the upper end position of the b-phase winding of the secondary side of the transformer; f M10 In order to embed an optical fiber at the lower end part position of a secondary side b-phase winding of a transformer, testing the position stress of the lower end part of the secondary side b-phase winding of the transformer; f M11 In order to embed an optical fiber at the upper end position of a secondary side c-phase winding of a transformer, testing the position stress of the upper end position of the secondary side c-phase winding of the transformer; f M12 In order to embed an optical fiber at the lower end part position of a secondary side c-phase winding of a transformer, testing the stress at the lower end part position of the secondary side c-phase winding of the transformer;
the rotating torque signal when the tap changer is operated is torque M 1 (ii) a Wherein M is 1 An optical fiber sensor is arranged in the position of a rotating shaft of a tap switch operating mechanism, and the rotating moment of the tap switch during action is tested;
the fluid pressure signal being the difference between the fluid pressures
Figure DEST_PATH_IMAGE007
，
Figure DEST_PATH_IMAGE008
In the formula, F N1 The method comprises the steps that a pressure sensor is arranged in the top of an oil tank to test the pressure of fluid; f N2 Testing the fluid pressure for a built-in pressure sensor at the bottom of the oil tank;
the ultraviolet light signal is an ultraviolet light matrix G 1 ，G 2 ，G 3 ，G 4 ，G 5 ，G 6 ](ii) a In matrix, G 1 Arranging an optical fiber in the middle turn-to-turn insulation position of the primary side A phase winding of the transformer, and testing ultraviolet light of the primary side A phase winding of the transformer; g 2 Arranging an optical fiber in the middle turn-to-turn insulation position of a primary side B phase winding of a transformer, and testing ultraviolet light of the primary side B phase winding of the transformer; g 3 Arranging an optical fiber in the middle turn-to-turn insulation position of the primary side C-phase winding of the transformer, and testing ultraviolet light of the primary side C-phase winding of the transformer; g 4 An optical fiber is arranged in a turn-to-turn insulation position in the middle of a phase winding of the secondary side of the transformer, and ultraviolet light of the phase winding of the secondary side of the transformer is tested; g 5 An optical fiber is arranged in the inter-turn insulation position in the middle of the secondary side b-phase winding of the transformer, and ultraviolet light of the secondary side b-phase winding of the transformer is tested; g 6 An optical fiber is arranged in a turn-to-turn insulation position in the middle of a c-phase winding of the secondary side of the transformer, and ultraviolet light of the c-phase winding of the secondary side of the transformer is tested;
the wiring temperature signal is a temperature matrix [ T ] 1 ，T 2 ，T 3 ，T 4 ，T 5 ，T 6 ](ii) a In the matrix, T 1 The method comprises the steps that optical fibers are arranged in the connecting line of a primary side A phase winding of a transformer and an outlet sleeve, and the connecting temperature of the primary side A phase winding of the transformer is tested; t is 2 Testing the wiring temperature of the primary side B-phase winding of the transformer by arranging an optical fiber in the position of a connecting wire of the primary side B-phase winding of the transformer and an outlet sleeve; t is 3 The method comprises the steps that optical fibers are arranged in the connecting line of a primary side C-phase winding of a transformer and an outlet sleeve, and the connecting temperature of the primary side C-phase winding of the transformer is tested; t is 4 An optical fiber is arranged in a connecting position of a secondary side a-phase winding of the transformer and an outlet sleeve, and the connecting temperature of the secondary side a-phase winding of the transformer is tested; t is 5 In order to embed optical fibers at the connecting line of the secondary side b-phase winding of the transformer and the outgoing line sleeve, the connecting line of the secondary side b-phase winding of the transformer is tested(ii) a temperature; t is 6 An optical fiber is arranged in a connecting line of a secondary side c-phase winding of the transformer and an outlet sleeve, and the connecting temperature of the secondary side c-phase winding of the transformer is tested.
3. The multivariate built-in panoramic perception transformer state comprehensive fuzzy evaluation method according to claim 1, characterized in that: the electrical parameters include electrical parameters of a primary voltage, electrical parameters of a primary current, electrical parameters of a secondary voltage, electrical parameters of a secondary current, electrical parameters of a primary power factor, and electrical parameters of a secondary power factor,
the electrical parameter of the primary side voltage is
Figure DEST_PATH_IMAGE009
，
Figure DEST_PATH_IMAGE010
，
In the formula (I), the compound is shown in the specification,U A ，U B ，U C is a primary side voltage vector of a winding outlet terminal;
the electrical parameter of the primary side current is
Figure DEST_PATH_IMAGE011
，
Figure DEST_PATH_IMAGE012
，
In the formula (I), the compound is shown in the specification,I A 、I B 、I C is a primary side current vector of a winding outlet terminal;
the electrical parameter of the secondary side voltage is
Figure DEST_PATH_IMAGE013
，
Figure DEST_PATH_IMAGE014
，
In the formula (I), the compound is shown in the specification,u a 、u b 、u c a secondary side voltage vector of a winding outlet terminal is obtained;
the electrical parameter of the secondary side current is
Figure DEST_PATH_IMAGE015
，
Figure DEST_PATH_IMAGE016
，
In the formula (I), the compound is shown in the specification,i a 、i b 、i c is a secondary side current vector of a winding outlet terminal;
the electrical parameter of the primary side power factor is
Figure DEST_PATH_IMAGE017
，
Figure DEST_PATH_IMAGE018
，
In the formula (I), the compound is shown in the specification,
Figure 426403DEST_PATH_IMAGE001
is a primary side phase a power factor signal,
Figure 140281DEST_PATH_IMAGE002
is a primary side B-phase power factor signal,
Figure 654439DEST_PATH_IMAGE003
is a primary side C-phase power factor signal;
the electrical parameter of the secondary side power factor is
Figure DEST_PATH_IMAGE019
，
Figure DEST_PATH_IMAGE020
，
In the formula，
Figure DEST_PATH_IMAGE021
Is a secondary side a-phase power factor signal,
Figure 659436DEST_PATH_IMAGE005
is a secondary side b-phase power factor signal,
Figure DEST_PATH_IMAGE022
is a secondary side c-phase power factor signal.
4. The multivariate built-in panoramic perception transformer state comprehensive fuzzy evaluation method according to claim 1, characterized in that: the magnetic parameters comprise the magnetic parameters of the main magnetic flux of the iron core column and the magnetic parameters of the leakage magnetic flux of the winding,
the magnetic parameter of the main flux of the core column is
Figure DEST_PATH_IMAGE023
，
Figure DEST_PATH_IMAGE024
，
In the formula (I), the compound is shown in the specification,
B 1 a Hall sensor is arranged in one half of the inner position of a phase iron core column of the transformer A, and the magnetic induction intensity of main magnetic flux of the phase iron core column of the transformer A is tested;
B 2 a Hall sensor is arranged in one half of the inner position of a phase-B iron core column of the transformer to test the magnetic induction intensity of main magnetic flux of the phase-B iron core column of the transformer;
B 3 a Hall sensor is arranged in one half of the inner position of a C-phase core limb of a transformer to test the magnetic induction intensity of main magnetic flux of the C-phase core limb of the transformer;
B 4 in order to embed a Hall sensor in one half of the inner part of an upper yoke of an iron core window consisting of phase A and phase B iron core columns of a transformer, the magnetic induction of the upper yoke of the iron core window consisting of the phase A and phase B iron core columns of the transformer is testedStress strength;
B 5 a Hall sensor is arranged in one half of the inner part of a lower iron yoke of an iron core window formed by the phase A and phase B iron core columns of the transformer, and the magnetic induction intensity of the lower iron yoke of the iron core window formed by the phase A and phase B iron core columns of the transformer is tested;
B 6 a Hall sensor is arranged in one half of the inner part of an upper yoke of an iron core window consisting of a phase B iron core column and a phase C iron core column of the transformer, and the magnetic induction intensity of the upper yoke of the iron core window consisting of the phase B iron core column and the phase C iron core column of the transformer is tested;
B 7 a Hall sensor is arranged in one half of the inner part of a lower iron yoke of an iron core window consisting of a phase B iron core column and a phase C iron core column of the transformer, and the magnetic induction intensity of the lower iron yoke of the iron core window consisting of the phase B iron core column and the phase C iron core column of the transformer is tested;
the magnetic parameter of the leakage flux of the winding is
Figure DEST_PATH_IMAGE025
，
Figure DEST_PATH_IMAGE026
In the formula (I), the compound is shown in the specification,
B δ1 a Hall sensor is arranged in the upper end part of a primary side A phase winding of the transformer, and the magnetic induction intensity of the leakage flux of the winding at the upper end part of the primary side A phase winding of the transformer is tested;
B δ2 a Hall sensor is arranged in the lower end part position of a primary side A phase winding of the transformer, and the magnetic induction intensity of the leakage flux of the winding in the lower end part position of the primary side A phase winding of the transformer is tested;
B δ3 a Hall sensor is arranged in the upper end part position of a primary side B-phase winding of the transformer, and the magnetic induction intensity of the leakage magnetic flux of the winding in the upper end part position of the primary side B-phase winding of the transformer is tested;
B δ4 a Hall sensor is arranged in the lower end part position of a primary side B phase winding of the transformer, and the magnetic induction intensity of the leakage flux of the winding at the lower end part position of the primary side B phase winding of the transformer is tested;
B δ5 a Hall sensor is arranged in the upper end position of a primary side C-phase winding of the transformer, and the magnetic induction intensity of the leakage flux of the winding at the upper end position of the primary side C-phase winding of the transformer is tested;
B δ6 a Hall sensor is arranged in the lower end part position of a primary side C-phase winding of the transformer, and the magnetic induction intensity of the leakage flux of the winding at the lower end part position of the primary side C-phase winding of the transformer is tested;
B δ7 a Hall sensor is arranged in the upper end position of the a-phase winding of the secondary side of the transformer, and the magnetic induction intensity of the leakage flux of the winding at the upper end position of the a-phase winding of the secondary side of the transformer is tested;
B δ8 a Hall sensor is arranged in the lower end part of the a-phase winding of the secondary side of the transformer, and the magnetic induction intensity of the leakage flux of the winding at the lower end part of the a-phase winding of the secondary side of the transformer is tested;
B δ9 a Hall sensor is arranged in the upper end position of the secondary side b-phase winding of the transformer, and the magnetic induction intensity of the leakage flux of the winding at the upper end position of the secondary side b-phase winding of the transformer is tested;
B δ10 a Hall sensor is arranged in the lower end part of a secondary side b-phase winding of the transformer, and the magnetic induction intensity of the leakage flux of the winding at the lower end part of the secondary side b-phase winding of the transformer is tested;
B δ11 a Hall sensor is arranged in the upper end position of a c-phase winding on the secondary side of the transformer, and the magnetic induction intensity of the leakage flux of the winding at the upper end position of the c-phase winding on the secondary side of the transformer is tested;
B δ12 a Hall sensor is arranged in the lower end part of the secondary side c-phase winding of the transformer, and the magnetic induction intensity of the leakage flux of the winding in the lower end part of the secondary side c-phase winding of the transformer is tested.
5. The multivariate built-in panoramic perception transformer state comprehensive fuzzy evaluation method as claimed in claim 1, characterized in that: the stress parameters include stress parameters of the winding and stress parameters of the tap changer,
the stress parameter of the winding is
Figure DEST_PATH_IMAGE027
，
Figure DEST_PATH_IMAGE028
In the formula (I), the compound is shown in the specification,
F M1 in order to embed an optical fiber at the upper end part of a primary side A phase winding of a transformer, testing the position stress of the upper end part of the primary side A phase winding of the transformer;
F M2 in order to embed an optical fiber at the lower end part position of a primary side A phase winding of a transformer, testing the position stress of the lower end part position of the primary side A phase winding of the transformer;
F M3 the method comprises the steps that optical fibers are arranged in the upper end part of a primary side B-phase winding of a transformer, and the position stress of the upper end part of the primary side B-phase winding of the transformer is tested;
F M4 in order to embed an optical fiber at the lower end part position of a primary side B-phase winding of a transformer, testing the position stress of the lower end part position of the primary side B-phase winding of the transformer;
F M5 the method comprises the steps that optical fibers are arranged in the upper end position of a primary side C-phase winding of a transformer, and the position stress of the upper end position of the primary side C-phase winding of the transformer is tested;
F M6 in order to embed an optical fiber in the lower end part position of a primary side C-phase winding of a transformer, testing the position stress of the lower end part position of the primary side C-phase winding of the transformer;
F M7 in order to embed an optical fiber at the upper end position of a phase winding on the secondary side of a transformer, testing the position stress of the upper end position of the phase winding on the secondary side of the transformer;
F M8 in order to embed an optical fiber at the lower end part position of a phase winding on the secondary side of a transformer, testing the stress at the lower end part position of the phase winding on the secondary side of the transformer;
F M9 in order to embed an optical fiber at the upper end position of a b-phase winding of a secondary side of a transformer, testing the position stress of the upper end position of the b-phase winding of the secondary side of the transformer;
F M10 in order to embed an optical fiber at the lower end part position of a secondary side b-phase winding of a transformer, testing the position stress of the lower end part of the secondary side b-phase winding of the transformer;
F M11 in order to embed an optical fiber at the upper end position of a c-phase winding on the secondary side of a transformer, testing the position stress of the upper end position of the c-phase winding on the secondary side of the transformer;
F M12 the method comprises the steps that optical fibers are arranged in the lower end part of a secondary side c-phase winding of a transformer, and the stress of the lower end part of the secondary side c-phase winding of the transformer is tested;
the stress parameters of the tap changer are as follows: an optical fiber sensor is arranged in the position of a rotating shaft of a tap switch operating mechanism to test the rotating moment M when the tap switch acts 1 。
6. The multivariate built-in panoramic perception transformer state comprehensive fuzzy evaluation method as claimed in claim 1, characterized in that: the fluid parameter is
Figure DEST_PATH_IMAGE029
，
Figure DEST_PATH_IMAGE030
，
In the formula, F N1 Testing the fluid pressure for a pressure sensor built in the top of the oil tank; f N2 The fluid pressure is tested for a built-in pressure sensor in the bottom of the tank.
7. The multivariate built-in panoramic perception transformer state comprehensive fuzzy evaluation method according to claim 1, characterized in that: optical parameter of
Figure DEST_PATH_IMAGE031
，
Figure DEST_PATH_IMAGE032
In the formula (I), the compound is shown in the specification,
G 1 an optical fiber is arranged in a turn-to-turn insulation position in the middle of a primary side A phase winding of a transformer, and ultraviolet light of the primary side A phase winding of the transformer is tested;
G 2 in order to at a transformerAn optical fiber is arranged in the middle turn-to-turn insulation position of the primary side B phase winding, and ultraviolet light of the primary side B phase winding of the transformer is tested;
G 3 an optical fiber is arranged in a turn-to-turn insulation position in the middle of a primary side C-phase winding of the transformer, and ultraviolet light of the primary side C-phase winding of the transformer is tested;
G 4 an optical fiber is arranged in the inter-turn insulation position in the middle of the a-phase winding of the secondary side of the transformer, and ultraviolet light of the a-phase winding of the secondary side of the transformer is tested;
G 5 an optical fiber is arranged in a turn-to-turn insulation position in the middle of a phase b winding of the secondary side of the transformer, and ultraviolet light of the phase b winding of the secondary side of the transformer is tested;
G 6 an optical fiber is arranged in the inter-turn insulation position in the middle of the secondary side c-phase winding of the transformer, and ultraviolet light of the secondary side c-phase winding of the transformer is tested.
8. The multivariate built-in panoramic perception transformer state comprehensive fuzzy evaluation method according to claim 1, characterized in that: a thermal parameter of
Figure DEST_PATH_IMAGE033
，
Figure DEST_PATH_IMAGE034
In the formula (I), the compound is shown in the specification,
T 1 the method comprises the steps that optical fibers are arranged in the connecting line of a primary side A phase winding of a transformer and an outlet sleeve, and the connecting temperature of the primary side A phase winding of the transformer is tested;
T 2 testing the wiring temperature of the primary side B-phase winding of the transformer by arranging an optical fiber in the position of a connecting wire of the primary side B-phase winding of the transformer and an outlet sleeve;
T 3 testing the wiring temperature of the primary side C-phase winding of the transformer by arranging an optical fiber in the position of a connecting wire of the primary side C-phase winding of the transformer and an outlet sleeve;
T 4 in order to embed optical fibers at the connecting line of the secondary side a-phase winding of the transformer and the outlet sleeve, the connecting line of the secondary side a-phase winding of the transformer is tested(ii) temperature;
T 5 the method comprises the steps that optical fibers are arranged in the connecting line of a secondary side b-phase winding of the transformer and an outlet sleeve, and the connecting line temperature of the secondary side b-phase winding of the transformer is tested;
T 6 an optical fiber is arranged in a connecting line of a secondary side c-phase winding of the transformer and an outlet sleeve, and the connecting temperature of the secondary side c-phase winding of the transformer is tested.
9. The multivariate built-in panoramic perception transformer state comprehensive fuzzy evaluation method according to claim 1, characterized in that: the process of the comprehensive fuzzy evaluation method is as follows:
(1) Establishing a set of evaluation indexes, and selecting an evaluation object;
(2) Carrying out standardization processing on data of an evaluation object through a standardized data model;
(3) Calculating the weight of the evaluation object to form a signal layer weight vector
Figure DEST_PATH_IMAGE035
And a parametric layer weight vector
Figure DEST_PATH_IMAGE036
；
(4) Calculating evaluation value of the evaluation object through an evaluation value model, and establishing the evaluation value as an evaluation matrix
Figure DEST_PATH_IMAGE037
；
(5) According to the evaluation matrix
Figure 568748DEST_PATH_IMAGE037
Sum signal layer weight vector
Figure 125631DEST_PATH_IMAGE035
Carrying out comprehensive fuzzy evaluation of a first-level signal layer;
(6) Obtaining a result and a parameter layer weight vector according to the first-level signal layer comprehensive fuzzy evaluation
Figure 189402DEST_PATH_IMAGE036
Calculating the comprehensive evaluation value of the evaluation indexes of the parameter layer and obtaining the optimal membership degree
Figure DEST_PATH_IMAGE038
Performing comprehensive fuzzy evaluation of a secondary parameter layer;
(7) According to the result of comprehensive fuzzy evaluation of the secondary parameter layer and the optimal membership degree
Figure 653882DEST_PATH_IMAGE038
(ii) a Constructing a comprehensive evaluation index system of the transformer;
(8) Comprehensive evaluation index system and optimal membership degree formed by aiming at each evaluation index
Figure 119498DEST_PATH_IMAGE038
And (4) forming a comprehensive result evaluation set by using the calculation results to realize comprehensive evaluation of the state of the transformer.
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